Title :
The Application of Speech/Music Automatic Discrimination Based on Gray Correlation Analysis
Author :
Gong, Chen ; Xiong-wei, Zhang
Author_Institution :
ICE, PLA Univ., Nanjing
Abstract :
It is important for automatic discrimination of speech/music in content-based indexing and retrieval of cognitive multimedia. Previous work bases on longtime characteristics such as perceptual features like pitch, brightness, differential parameters, variances, time-averages of spectral parameters and etc. However, these algorithms are relatively complex and some of processing speed is not efficient. In this paper, the application of gray correlation analysis method in speech/music discrimination based on unique probability statistics of short energy root mean square (RMS) is present. The simulation results for different segments of music/speech signals discrimination and both algorithms indicate that gray correlation analysis is feasible. This new algorithm is more effective with accurate performance than that of the reference (C. Panagiotakis and G. Tziritas, 2005) in real-time multimedia applications
Keywords :
audio signal processing; correlation theory; multimedia systems; probability; speech recognition; cognitive multimedia; content-based indexing; content-based retrieval; gray correlation analysis; music discrimination; probability statistics; real-time multimedia applications; root mean square; speech discrimination; Analytical models; Brightness; Content based retrieval; Indexing; Multiple signal classification; Music information retrieval; Probability; Root mean square; Speech analysis; Statistical analysis; Cognitive multimedia; Discrimination; RMS; gray correlation analysis; speech/music;
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
DOI :
10.1109/COGINF.2006.365678